"Using Google for searches" matching MCP servers:

Searches your local Claude Code conversation history to recall and resume past solutions.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

A local MCP server that indexes and searches your past Claude sessions using SQLite FTS5. No cloud, runs entirely on your machine.

Provides a searchable knowledge base over the Entra.news archive, enabling natural language queries for Microsoft Entra announcements, features, and community tools. Users can perform hybrid semantic searches, retrieve specific newsletter issues, and discover mentioned GitHub projects or PowerShell tools.

Enables searching Google Scholar with Scholar operators, year ranges, cited-by and all-versions lookups, and retrieving citations in five styles with BibTeX and EndNote export links as structured JSON.

Local-first persistent memory for Claude Code and OpenAI Codex CLI. A single Rust binary captures, distills, searches, and injects project memory across sessions via hooks, MCP, CLI, and localhost REST.

MCP server that gives Claude Code and other MCP clients persistent memory using plain Markdown notes stored on your disk and optionally synced to cloud storage (iCloud, OneDrive, Google Drive, Dropbox).

A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.

Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.

An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.

MCP server for Google NotebookLM enabling notebook, source, and audio overview management with hybrid metadata storage.

Interacts with LogSeq via its API.

Persistent memory engine for AI coding agents. Single Go binary, zero runtime dependencies, MCP-native. Stores, searches, and deduplicates memories across sessions using embedded SQLite with hybrid FTS + semantic search, memory decay, relation graph, and token-budget context assembly.

Connects AI agents to Calibre ebook libraries for searching, reading, and managing digital collections. It supports metadata updates, format conversion, and full-text content searches while providing granular permission controls for library access.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.

Provides access to Wikidata for Large Language Models through the Model Context Protocol, offering tools for entity search, detailed retrieval, SPARQL queries, relation exploration, and property-based searches.

An MCP server that provides a persistent memory layer for AI agents by wrapping the memvid CLI. It enables users to manage memory files, perform hybrid searches, and conduct RAG-based question answering through 40 specialized tools.

Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.

Enables natural language tracking and exploration of books, movies/TV, quotes, podcasts, and personalized recommendations, using Google Cloud Firestore as a private, intelligent entertainment memory and AI curator.

A Model Context Protocol server that enables AI models to interact with SourceSync.ai's knowledge management platform for managing documents, ingesting content from various sources, and performing semantic searches.